Understanding the Impact of Long-Term Memory on Self-Disclosure with Large Language Model-Driven Chatbots for Public Health Intervention

Recent large language models (LLMs) offer the potential to support public health monitoring by facilitating health disclosure through open-ended conversations but rarely preserve the knowledge gained about individuals across repeated interactions. Augmenting LLMs with long-term memory (LTM) presents...

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Veröffentlicht in:	arXiv.org 2024-02
Hauptverfasser:	Eunkyung Jo, Jeong, Yuin, Park, SoHyun, Epstein, Daniel A, Young-Ho, Kim
Format:	Artikel
Sprache:	eng
Schlagworte:	Chatbots Computer Science - Artificial Intelligence Computer Science - Computation and Language Computer Science - Human-Computer Interaction Large language models Public health
Online-Zugang:	Volltext
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